Named Entities
DOWNLOAD
Download Named Entities PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Named Entities book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Named Entities
DOWNLOAD
Author : Satoshi Sekine
language : en
Publisher: John Benjamins Publishing
Release Date : 2009-07-03
Named Entities written by Satoshi Sekine and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-03 with Language Arts & Disciplines categories.
Named Entities provides critical information for many NLP applications. Named Entity recognition and classification (NERC) in text is recognized as one of the important sub-tasks of Information Extraction (IE). The seven papers in this volume cover various interesting and informative aspects of NERC research. Nadeau & Sekine provide an extensive survey of past NERC technologies, which should be a very useful resource for new researchers in this field. Smith & Osborne describe a machine learning model which tries to solve the over-fitting problem. Mazur & Dale tackle a common problem of NE and conjunction; as conjunctions are often a part of NEs or appear close to NEs, this is an important practical problem. A further three papers describe analyses and implementations of NERC for different languages: Spanish (Galicia-Haro & Gelbukh), Bengali (Ekbal, Naskar & Bandyopadhyay), and Serbian (Vitas, Krstev & Maurel). Finally, Steinberger & Pouliquen report on a real WEB application where multilingual NERC technology is used to identify occurrences of people, locations and organizations in newspapers in different languages. The contributions to this volume were previously published in Lingvisticae Investigationes 30:1 (2007).
Named Entities
DOWNLOAD
Author : Satoshi Sekine
language : en
Publisher: John Benjamins Publishing
Release Date : 2009
Named Entities written by Satoshi Sekine and has been published by John Benjamins Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Language Arts & Disciplines categories.
Printbegrænsninger: Der kan printes 10 sider ad gangen og max. 40 sider pr. session
Time Expression And Named Entity Recognition
DOWNLOAD
Author : Xiaoshi Zhong
language : en
Publisher: Springer Nature
Release Date : 2021-08-23
Time Expression And Named Entity Recognition written by Xiaoshi Zhong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-23 with Computers categories.
This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
Named Entities For Computational Linguistics
DOWNLOAD
Author : Damien Nouvel
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-08
Named Entities For Computational Linguistics written by Damien Nouvel and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-08 with Technology & Engineering categories.
One of the challenges brought on by the digital revolution of the recent decades is the mechanism by which information carried by texts can be extracted in order to access its contents. The processing of named entities remains a very active area of research, which plays a central role in natural language processing technologies and their applications. Named entity recognition, a tool used in information extraction tasks, focuses on recognizing small pieces of information in order to extract information on a larger scale. The authors use written text and examples in French and English to present the necessary elements for the readers to familiarize themselves with the main concepts related to named entities and to discover the problems associated with them, as well as the methods available in practice for solving these issues.
Named Entity Recognition
DOWNLOAD
Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05
Named Entity Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
What Is Named Entity Recognition Named-entity recognition, or NER, is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, and so on. Other names for this subtask include (named) entity identification, entity chunking, and entity extraction. Named-entity recognition is also known as named-entity identification. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Named-entity recognition Chapter 2: Natural language processing Chapter 3: Information extraction Chapter 4: Named entity Chapter 5: Relationship extraction Chapter 6: Outline of natural language processing Chapter 7: Entity linking Chapter 8: Apache cTAKES Chapter 9: SpaCy Chapter 10: Zero-shot learning (II) Answering the public top questions about named entity recognition. (III) Real world examples for the usage of named entity recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of named entity recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of named entity recognition.
Foundations Of Intelligent Systems
DOWNLOAD
Author : Jan Rauch
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-03
Foundations Of Intelligent Systems written by Jan Rauch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-03 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Symposium on Methodologies for Intelligent Systems, ISMIS 2009, held in Prague, Czech Republic, in September 2009. The 60 revised papers presented together with 4 plenary talks were carefully reviewed and selected from over 111 submissions. The papers are organized in topical sections on knowledge discovery and data mining, applications and intelligent systems in Medicine, logical and theoretical aspects of intelligent systems, text mining, applications of intelligent sysems in music, information processing, agents, machine learning, applications of intelligent systems, complex data, general AI as well as uncertainty.
Advances In Multilingual And Multimodal Information Retrieval
DOWNLOAD
Author : Cross-Language Evaluation Forum. Workshop
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-10
Advances In Multilingual And Multimodal Information Retrieval written by Cross-Language Evaluation Forum. Workshop and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-10 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 8th Workshop of the Cross-Language Evaluation Forum, CLEF 2007, held in Budapest, Hungary, September 2007. The revised and extended papers were carefully reviewed and selected for inclusion in the book. There are 115 contributions in total and an introduction. The seven distrinct evaluation tracks in CLEF 2007, are designed to test the performance of a wide range of multilingual information access systems or system components. The papers are organized in topical sections on Multilingual Textual Document Retrieval (Ad Hoc), Domain-Specific Information Retrieval (Domain-Specific), Multiple Language Question Answering (QA@CLEF), cross-language retrieval in image collections (Image CLEF), cross-language speech retrieval (CL-SR), multilingual Web retrieval (WebCLEF), cross-language geographical retrieval (GeoCLEF), and CLEF in other evaluations.
Semantic Processing Of Legal Texts
DOWNLOAD
Author : Enrico Francesconi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-05-06
Semantic Processing Of Legal Texts written by Enrico Francesconi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-06 with Computers categories.
Recent years have seen much new research on the interface between artificial intelligence and law, looking at issues such as automated legal reasoning. This collection of papers represents the state of the art in this fascinating and highly topical field.
Deep Learning For Natural Language Processing
DOWNLOAD
Author : Karthiek Reddy Bokka
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-06-11
Deep Learning For Natural Language Processing written by Karthiek Reddy Bokka and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with Computers categories.
Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key FeaturesGain insights into the basic building blocks of natural language processingLearn how to select the best deep neural network to solve your NLP problemsExplore convolutional and recurrent neural networks and long short-term memory networksBook Description Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you’ll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search. By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues. What you will learnUnderstand various pre-processing techniques for deep learning problemsBuild a vector representation of text using word2vec and GloVeCreate a named entity recognizer and parts-of-speech tagger with Apache OpenNLPBuild a machine translation model in KerasDevelop a text generation application using LSTMBuild a trigger word detection application using an attention modelWho this book is for If you’re an aspiring data scientist looking for an introduction to deep learning in the NLP domain, this is just the book for you. Strong working knowledge of Python, linear algebra, and machine learning is a must.
Database And Expert Systems Applications
DOWNLOAD
Author : Hendrik Decker
language : en
Publisher: Springer
Release Date : 2014-08-20
Database And Expert Systems Applications written by Hendrik Decker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-20 with Computers categories.
This two volume set LNCS 8644 and LNCS 8645 constitutes the refereed proceedings of the 25th International Conference on Database and Expert Systems Applications, DEXA 2014, held in Munich, Germany, September 1-4, 2014. The 37 revised full papers presented together with 46 short papers, and 2 keynote talks, were carefully reviewed and selected from 159 submissions. The papers discuss a range of topics including: data quality; social web; XML keyword search; skyline queries; graph algorithms; information retrieval; XML; security; semantic web; classification and clustering; queries; social computing; similarity search; ranking; data mining; big data; approximations; privacy; data exchange; data integration; web semantics; repositories; partitioning; and business applications.